The purpose of this dissertation was to scrutinize the complexities involved in the formulation and implementation of relevant policies. The design of each study mirrored key elements in the legislative life cycle specifically as it pertained to civics education policymaking, including problem identification, policy creation, and policy diffusion.…

Dialogue act (DA) classification plays an important role in understanding, interpreting and modeling dialogue. Dialogue acts (DAs) represent the intended meaning of an utterance, which is associated with the illocutionary force (or the speaker's intention), such as greetings, questions, requests, statements, and agreements. In natural language…

Automated assessment using Natural Language Processing (NLP) has the potential to make English speaking assessments more reliable, authentic, and accessible. Yet without careful examination, NLP may exacerbate social prejudices based on gender or native language (L1). Current NLP-based assessments are prone to such biases, yet research and…

The digital transformation in educational assessment has led to the proliferation of large-scale data, offering unprecedented opportunities to enhance language learning, and testing through machine learning (ML) techniques. Drawing on the extensive data generated by online English language assessments, this dissertation investigates the efficacy…

This dissertation includes three essays in the field of economics of education. The first essay estimates the effect of top school management on student achievement in America. I use newly-collected data on the tenures of school district superintendents--the highest-ranking executive in U.S. school districts--to estimate the impact of individual…

Students studying complex science topics can benefit from receiving immediate, personalized guidance. Supporting students to revise their written explanations in science can help students to integrate disparate ideas and develop a coherent, generative account of complex scientific topics. Using natural language processing to analyze student…

This work covers topics in event coreference and event classification from spoken conversation. Event coreference is the process of identifying descriptions of the same event across sentences, documents, or structured databases. Existing event coreference work focuses on sentence similarity models or feature based similarity models requiring slot…

In five experiments, I investigated how readers and listeners generate relevant contrasts in comprehending and remembering discourse. Past work has suggested that prominent words promote encoding of salient alternatives and that this benefits later memory, but it is unclear exactly which alternatives are considered or how consistent these benefits…

In the era of No Child Left Behind (ED, 2001), public school administrators have dedicated resources to ensuring all students reach proficiency in basic skills on the state mandated assessments. The focus on reaching proficiency on NCLB assessments is less of a concern for gifted students who exceed grade level expectations and have the potential…

A number of universities offer fully web-based language courses. Many others are considering this option. Yet it remains unclear whether web-based courses can be as comprehensively effective as classroom-based courses. And, if so, what might an effective web-based language course look like? This dissertation considers the German Online at PSU…